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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Dwi Prasetyo
Universitas Nusa Cendana, Kupang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Deteksi Tingkat Kemiripan Judul Menggunakan Algoritma Oliver Pada Sistem Informasi Pengajuan Skripsi Nopi Fitrianingsih; Marsani Asfi; Dwi Prasetyo; Ricky Perdana Kusuma; Muhammad Afif Sulhan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4409

Abstract

Thesis is the final requirement of academic education. The procedural system for the title checking process is based on the memory of the huma, thus allowing for the similarity of the thesis title. Therefore, a system can detect the degree of similarity of  titles automatically in order to prevent redundancy of thesis titles. This study applies the Oliver algorithm which is a function in the PHP programming language that produces a similarity value of two strings. Oliver's algorithm has not been widely applied in plagiarism detection techniques. Oliver algorithm testing using test data as much as 10 test title data and 217 titles for training data. The test results show that Oliver's algorithm produces a percentage of the title similarity level in accordance with the accepted provisions, namely 60%. It was found that 2 out of 10 thesis titles were rejected with a similarity percentage of 70.06% and 62.89% and 8 thesis titles were accepted with a similarity percentage of 31.94%, 30.48%, 26.11%, 31.86%, 29.47%, 31.13%, 35.01% and 37.08%.
Co-Authors Marsani Asfi Muhammad Afif Sulhan Nopi Fitrianingsih Ricky Perdana Kusuma